Professor Emanuele Viterbo

Professor Emanuele Viterbo

Professor
Department of Electrical and Computer Systems Engineering
+61 3 9905 3473
Room G09, 16 Alliance Lane, Clayton Campus
@ViterboEmanuele
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I am a Professor in the Electrical and Computer Systems Engineering Department at Monash University. My research interest is in the field of Error Control Coding and Communications

  • ISI Highly Cited Researcher Computer Science, 2010
  • IEEE Fellow for contributions to coding and decoding for wireless digital communications, 2011
  • Australia-India Fellowship from the Australian Academy of Science, 2012-13
  • Invitation Fellowship for Research in Japan from the Japan Society for the Promotion of Science, 2013
  • Australian Research Council College of Experts (2025-2027)

Qualifications

  • PhD, Telecommunications Engineering, Politecnico di Torino
  • Laurea, Electrical Engineering, Politecnico di Torino

Expertise

Orthogonal Time Frequency Space (OTFS)

Communication systems traditionally rely on time and frequency resources to send information across slow time-varying wireless channels via Orthogonal Frequency Division Multiplexing (OFDM). The Orthogonal Time Frequency Space (OTFS) waveform takes a different approach by operating in the delay/Doppler domain, achieving greater spectral efficiency and maintaining reliable performance in high-mobility environments where OFDM tends to fall short. Beyond communication, the delay-Doppler domain also captures sensing data — specifically the range and velocity of channel scatterers — positioning OTFS as the waveform of choice for Integrated Sensing and Communications (ISAC).

Information storage in synthetic DNA.

A few grams of synthetic DNA have the potential to store the entire internet’s data.

The use of synthetic DNA as an information storage medium may offer data density of
petabytes per gram and durability of several millennia. Advances in information-theoretic and machine learning
methods are a necessary step to reliably retrieve information from the signals generated from DNA nanopore sequencing devices.

B. C. McBain, and E. Viterbo, “An Information-Theoretic Approach to Nanopore Sequencing for DNA Storage”, IEEE BITS the Information Theory Magazine, 3 (3), 95-108 (2023)

DNA Squiggleism @Monash

 

Error Control Coding

Error control coding improves the reliability of communication and storage of information. In 1948, Claude Shannon defined the notion of channel capacity as a fundamental limit on the speed at which information can be transmitted over a communication channel. His analysis was asymptotic in nature and did not provide practical coding techniques that would enable one to approach channel capacity. In the last 70 years, information theory research has focused on constructing practical capacity approaching coding schemes and identifying the capacity of new types of channels that can be found in modern applications such as mobile phones, WiFi, digital TV, data storage (hard drives, Nand-Flash memories).
Polar codes are the most recent family of codes that were recently adopted for the control channel of 5G wireless networks, only 10 years after their invention by Arikan. I am working on improving and adapting these codes for different channels.

 

Lattice codes for digital communications

Lattices are multidimensional periodic sets of points that can represent the signals to be transmitted by a source across a communication channel. In general, at the destination the received signal will be distorted by the channel and perturbed by noise. The task of the receiver is to identify the most likely transmitted signal among the lattice point.

Two key research problems in this area are (i) to design lattice codes that minimize the probability erroneous detection for different types of channels (ii) to design efficient and low complexity detection algorithms operating at the receiver.

E. Viterbo and J. Boutros: “A Universal Lattice Code Decoder for Fading Channels”, IEEE Transactions on Information Theory, vol. 45, n. 5, pp. 1639-1642, July 1999.

 

Algebraic Number Theory for Wireless Communications

Algebraic number theory is a branch of pure mathematics that studies the roots of polynomial equations. Its connection to algebraic lattices results in an ideal tool for the design lattice codes that perform well over wireless fading channels.

J. Boutros and E. Viterbo: “Signal Space Diversity: a power and bandwidth efficient diversity technique for the Rayleigh fading channel”, IEEE Transactions on Information Theory, vol. 44, n. 4, pp. 1453-1467, July 1998

E. Bayer-Fluckiger, F. Oggier, E. Viterbo: “Algebraic Lattice Constellations: bounds on performance”, IEEE Transactions on Information Theory, vol. 52, n. 1, pp. 319-327, Jan. 2006.

F. Oggier and E. Viterbo: “Algebraic number theory and code design for Rayleigh fading channels”,  Foundations and Trends in Communications and Information Theory, ISBN: 1-933019-07-7, Now Publishers, 2004.

 

Cyclic Division Algebra for MIMO Space-Time Coding

This mathematical tool enables to design optimal space-time codes for multiple antenna systems. The Golden code , the Silver code, and the Perfect Space-Time block codes were the result of

J.-C. Belfiore, G. Rekaya, E. Viterbo: “The Golden Code: A 2×2 Full-Rate Space-Time Code With Nonvanishing Determinants”, IEEE Transactions on Information Theory, vol. 51, n. 4, pp. 1432-1436, Apr. 2005.

F. Oggier, G. Rekaya, J.-C. Belfiore, E. Viterbo: “Perfect Space-Time Block Codes”, IEEE Transactions on Information Theory, vol. 52, n. 9, pp. 3885-3902, Sept. 2006.

Y. Hong, E. Viterbo, and J.-C. Belfiore: “Golden space-time trellis coded modulation”, IEEE Transactions on Information Theory, vol. 53, no. 5, pp. 1689 – 1705, May 2007.

F. Oggier, J.-C. Belfiore, and E. Viterbo: “Cyclic Division Algebras: A Tool for Space-Time Coding”, Foundations and Trends in Communications and Information Theory, ISBN: 978-1-60198-050-2, Now Publishers, 2007

 

Short Bio

Emanuele Viterbo received his degree (Laurea) in Electrical Engineering in 1989 and his Ph.D. in 1995 in Electrical Engineering, both from the Politecnico di Torino, Torino, Italy. From 1990 to 1992 he was with the European Patent Office, The Hague, The Netherlands, as a patent examiner in the field of dynamic recording and error-control coding. Between 1995 and 1997 he held a post-doctoral position in the Dip. di Elettronica of the Politecnico di Torino. In 1997-98 he was a post-doctoral research fellow in the Information Sciences Research Center of AT&T Research, Florham Park, NJ, USA. He became first Assistant Professor (1998) then Associate Professor (2005) in Dip. di Elettronica at Politecnico di Torino. In 2006 he became Full Professor in DEIS at University of Calabria, Italy. Since 2010 he has been Professor in the Electrical and Computer Systems Eng. Department and Associate Dean Graduate Research (2012-2020) of the Faculty of Engineering at Monash University, Melbourne, Australia.

Prof. Emanuele Viterbo is a 2011 Fellow of the IEEE, a 2010 ISI Highly Cited Researcher and Member of the Board of Governors of the IEEE Information Theory Society (2011-2018) and Conference Committee Chair (2016-2018). He served as Associate Editor of IEEE Transactions on Information Theory, European Transactions on Telecommunications, and Journal of Communications and Networks, Guest Editor for IEEE Journal of Selected Topics in Signal Processing: Special Issue Managing Complexity in Multiuser MIMO Systems, and Editor of Foundations and Trends® in Communications and Information Theory. He is a member of the Australian Research Council College of Experts (2025-2027).

In 1993, he was a visiting researcher in the Communications Department of DLR, Oberpfaffenhofen, Germany. In 1994 and 1995, he was visiting the Ecole Nationale Supérieure des Télécommunications (E.N.S.T.), Paris. In 2003, he was a visiting researcher at the Mathematics Department of EPFL, Lausanne, Switzerland. In 2004 he was visiting researcher at the Telecommunications Department of UNICAMP, Campinas, Brazil. In 2005, 2006 and 2009, he was a visiting researcher at the ITR of UniSA, Adelaide, Australia. In 2007, he was a visiting fellow at the Nokia Research Center, Helsinki, Finland.

Dr. Emanuele Viterbo was awarded a NATO Advanced Fellowship in 1997 from the Italian National Research Council, the 2012-13 Australia-India Fellowship from the Australian Academy of Science, and the 2013 Invitation Fellowship for Research in Japan from the Japan Society for the Promotion of Science. His main research interests are in lattice codes for the Gaussian and fading channels, algebraic coding theory, algebraic space-time coding, digital terrestrial television broadcasting, digital magnetic recording, and information storage in synthetic DNA.

Extended CV

Research Interests

My research interest is in the area of Coding and Information Theory. Using tools from Discrete mathematics I create new algorithms that enable more reliable and secure communication and storage of information.

Research Projects

Current projects

Polar coding techniques

New modulation techniques for future high-mobility wireless communications

Emerging mass transportation systems – such as self-driving cars, high speed trains, drones, flying cars, and supersonic flight – will challenge the
design of future wireless networks due to high-mobility environments: a large number of high-mobility users require high data rates and low
latencies. The physical layer modulation technique is a key design component to meet the system requirements of high mobility.
Currently, orthogonal frequency division multiplexing (OFDM) is the modulation scheme deployed in 4G long term evolution (LTE) mobile
systems, where the wireless channel typically exhibits time-varying multipath fading. OFDM can only achieve a near-capacity performance
over a doubly dispersive channel with a low Doppler effect, but suffers heavy degradations under high Doppler conditions, typically found in high mobility environments.
Orthogonal time frequency space (OTFS) modulation has been very recently proposed by Hadani et al. at WCNC’17, San Francisco. It was
shown to provide significant advantages over OFDM in doubly dispersive channels. OTFS multiplexes each information symbol over a 2D orthogonal
basis functions, specifically designed to combat the dynamics of the time-varying multipath channels. As a result, all information symbols experience
a constant flat fading equivalent channel. OTFS is only in its infancy, leaving many opportunities for significant developments on both practical and
theoretical fronts.

Past projects

Advanced Error-Control Coding Techniques for Cost-Efficient and Scalable Blockchains

Advanced error control coding techniques for scalable blockchains. The project aims to investigate the application of error-control coding theory in blockchains, focusing on reducing the storage, computation, and communication overheads, as well as increasing the throughput of blockchain networks. The ambition is to develop coding theory in a completely new territory: decentralised, untrusted, and peer-to-peer networks. The intended outcome is to greatly extend the current state of the art of the theory of error-control codes, previously investigated only in the context of centralised architectures, where a server coordinates every task. Practically, the project should provide significant benefits in terms of cost-effectiveness of blockchains, an increase in their processing speed, and security enhancement.

Non-Binary LDPC codes

Wireless network coding: practical lattice code constructions

Network coding for content-aware networks

FLAG: Fundamental results and algorithmic solutions for 5G networks

Information Processing via lattices for Digital Data Networks

Code breaker takes on faster data challenge

It’s all about speed and accuracy for Professor Emanuele Viterbo – faster information transfer with fewer errors or information losses. His creative approach to coding is proving invaluable in improving the future of wired and wireless communication networks. As leader of the new Software Defined Telecommunications Laboratory at Monash University, one of Emanuele’s latest challenges is ‘cognitive radio’. The aim is to develop smart wireless devices that can access unused bandwidth in existing communication networks – be they cable, optical or wireless.
‘It would mean, for example, that a mobile phone could call another mobile phone in the same building by accessing radio bandwidth or wi-fi in the building, rather than connecting to the cellular network,’ he says.His research sits under the umbrella of information theory. The ultimate objective is to take the speed of communication as close as possible to the theoretical ‘ultimate limit’. This is the maximum speed at which data can be transferred without error. Emanuele says that in reality this limit is unattainable, but worldwide research efforts bring us at least closer to it, year by year.
‘You design codes that keep your error probability as low as possible,’ he explains. Errors in image files should not be detectable to the naked eye. In sound files they should be unheard. In computers the error rate should be almost nil, as a missing bit or two of information can stop a program from running. He says working on these codes brings him into collaborations with pure mathematicians, who delve more deeply into complex, conceptual maths than even he does. It gives them an opportunity to put their theories into practical applications. The Monash telecommunications lab will also be a testing ground for new hardware. Special computers in the laboratory will be capable of ‘pretending’ to be several different communication devices – depending on what the software tells it to be.
For example, a computer could act as if it were a new mobile phone, giving the designer a chance to see how the phone’s signalling would work – even before the prototype has been built. ‘It makes it very easy to test new algorithms, new transmission schemes, new network schemes,’ Emanuele says. Other uses for the lab include research into radar and defence applications, powerline communications and underground communications for mining.
Emanuele established his international reputation through two major radio communication breakthroughs that have already been incorporated into new technologies. In 2010 these earned him the highest honour from his peers internationally; he was awarded a fellowship to the Institute of Electrical and Electronics Engineering (IEEE). It is a success he did not foresee when he stumbled on to this career path during a two-year stint at the European Patent Office in the early 1990s, after finishing his bachelor degree. ‘I would see all these nice ideas – or not-so-nice ideas – in telecommunications but then I couldn’t really go and dig into improving them, or think about the application,’ he says. Frustrated by the restrictions of the patent office, he returned to university to develop his own ideas through a PhD.
Emanuele says that in a sense coding runs in his blood. His great-great uncle, an amateur Egyptologist, developed his own alphabet that he used to write a 355-page memoir of late 19th century life. Family members and hired experts all failed to crack the code in almost a century of trying. But in 1997, Emanuele spent three months cracking and translating the 250-symbol code, revealing intimate details of his forebear’s private life.

Journals:

  1. V. B. Wijekoon, E. Viterbo, Yi Hong, R. Micheloni, A. Marelli, “A Novel Graph Expansion and a Decoding Algorithm for NB-LDPC Codes”, IEEE Transactions on Communications, vol. 68, no. 3, pp. 1358-1369, 2020.
  2. P. Raviteja, Yi Hong, E. Viterbo, E. Biglieri, “Effective Diversity of OTFS Modulation”, IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 249-253, 2020.
  3. M. Nur Hasan, B. Kurkoski, A. Sakzad, E. Viterbo, “Steepest Gradient-Based Orthogonal Precoder for Integer-Forcing MIMO”, IEEE Transactions on Wireless Communications, vol. 19, no. 2, pp. 942-955, 2020.
  4. Shuiyin Liu, Yi Hong, E. Viterbo, A. Marelli, R. Micheloni, “Efficient Decoding of Low Density Lattice Codes”, IEEE Wireless Communications Letters, vol. 8, no. 4, pp. 1195-1199, 2019.
  5. P. Raviteja, E. Viterbo, Yi Hong, “OTFS Performance on Static Multipath Channels”,  IEEE Wireless Communications Letters, vol. 8, no. 3, pp. 745-748, 2019.
  6. P. Raviteja, Yi Hong, E. Viterbo, E. Biglieri, “Practical Pulse-Shaping Waveforms for Reduced-Cyclic-Prefix OTFS”,  IEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 957-961, Jan. 2019.
  7. E. Biglieri, E. Viterbo, “Line Codes Generated by Finite Coxeter Groups”,  IEEE Transactions on Information Theory, vol. 65, no. 3, pp. 1936-1947, Mar. 2019.
  8. Yu-Chih Huang, Yi Hong, E. Viterbo, L. Natarajan, “Layered Space-Time Index Coding”,  IEEE Transactions on Information Theory, vol. 65, no. 1, pp. 142-158, Jan. 2019.
  9. Khoa T. Phan, Yi Hong, E. Viterbo, “Adaptive Resource Allocation for Secure Two-Hop Relaying Communication”,  IEEE Transactions on Wireless Communications, vol. 17, no. 12, pp. 8457-8472, Dec. 2018.
  10. P. Raviteja, Khoa T. Phan, Yi Hong, E. Viterbo, “Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation”,  IEEE Transactions on Wireless Communications, vol. 17, no. 10, pp. 6501-6515, Oct. 2018.
  11. A. Nordio, C.-F. Chiasserini, E. Viterbo, “Optimal Power Allocation Strategies in Two-Hop X-Duplex Relay Channel”,  IEEE Transactions on Communications, vol. 66, no. 7, pp. 2888-2903, July 2018.
  12. L. Natarajan, Yi Hong, E. Viterbo, “Lattice Codes Achieve the Capacity of Common Message Gaussian Broadcast Channels With Coded Side Information”,  IEEE Transactions on Information Theory, vol. 64, no. 3, pp. 1481-1496, Mar. 2018.
  13. P. Raviteja, Yi Hong, E. Viterbo, “Millimeter Wave Analog Beamforming With Low Resolution Phase Shifters for Multiuser Uplink”,  IEEE Transactions on Vehicular Technology, vol. 67, no. 4, pp. 3205-3215, Apr. 2017.
  14. P. Raviteja, Yi Hong, E. Viterbo, “Analog Beamforming With Low Resolution Phase Shifters”,  IEEE Wireless Communications Letters, vol. 6, no. 4, pp. 502-505, Apr. 2017.
  15. L. Natarajan, Yi Hong, E. Viterbo, “Line-of-Sight 2 x n_r MIMO With Random Antenna Orientations”,  IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 5134-5147, June 2017.
  16. P. Raviteja, Yi Hong, E. Viterbo, “Spatial Modulation in Full-Duplex Relaying”,  IEEE Communications Letters, vol. 20, no. 10, pp. 2111-2114, Oct. 2016.
  17. Y. Hong, E. Viterbo, and Jean-Claude Belfiore, “The Two-Modular Fourier Transform of Binary Functions”,  IEEE Trans. on Information Theory, vol. 62, no. 5, pp. 2813-2826, May 2016. DOI: 10.1109/TIT.2016.2545678
  18. J. Ravi, B. K. Dey, and E. Viterbo, “Oblivious Transfer Over Wireless Channels”,  IEEE Transactions on Communications, vol. 64, no. 3, pp. 893-905, Mar. 2016.
  19. N. Fernando, Y. Hong and E. Viterbo, “MIMO Self-Heterodyne OFDM”,  IEEE Transactions on Vehicular Technology, vol. 65, no. 3, pp.1271-1280, Mar. 2016.
  20. H. Vangala, Yi Hong, and E. Viterbo, “Efficient Algorithms for Systematic Polar Encoding”,   IEEE Communications Letters, vol. 20, no. 1, pp. 17-20, Jan. 2016.
  21. L. Natarajan, Yi Hong, and E. Viterbo, “Lattice Index Coding”,  IEEE Transactions on Information Theory, vol. 61, no. 12, pp. 1-21, Dec. 2015.
  22. L. Natarajan, Yi Hong, and E. Viterbo, “Index Codes for the Gaussian Broadcast Channel using Quadrature Amplitude Modulation”,  IEEE Communications Letters, DOI: 10.1109/LCOMM.2015.2439268, vol. 19, no. 8, pp. 1291-1294, August 2015.
  23. Shuiyin Liu, Yi Hong, and E. Viterbo, “Guaranteeing Positive Secrecy Capacity for MIMOME Wiretap Channels with Finite-Rate Feedback using Artificial Noise” ,  IEEE Transactions on Wireless Communications, DOI: 10.1109/TWC.2015.2417886, vol. 14, no. 8, pp. 4193-4203, August 2015.
  24. Shuiyin Liu, Yi Hong, and E. Viterbo, “Artificial Noise Revisited”,  IEEE Transactions on Information Theory, pp. 3901-3911, vol. 61, n. 7, DOI: 10.1109/TIT.2015.2437882, July 2015.
  25. A. Sakzad and E. Viterbo, “Full Diversity Unitary Precoded Integer-Forcing”, IEEE Transactions on Wireless Communications, DOI: 10.1109/TWC.2015.2419228, April 2015.
  26. N. Fernando, Yi Hong and E. Viterbo, “MIMO Self-Heterodyne OFDM”,  IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2015.2411277 , March 2015.
  27. Shuiyin Liu, Yi Hong, and E. Viterbo, “Unshared Secret Key Cryptography “, IEEE Transactions on Wireless Communications, pp. 6670-6683 , vol. 13, n. 12, Dec. 2014.
  28. A. J. Lowery, C. Zhu, E. Viterbo, and B. Corcoran,  “All-optical generation of DFT-S-OFDM superchannels using periodic sinc pulses” ,  Optics Express, pp. 27026-27041, vol. 22, n. 22, 2014, Nov. 2014.
  29. S. Kahraman, E. Viterbo, and M.E. Celebi “Multiple Folding for Successive Cancelation Decoding of Polar Codes”, IEEE Wireless Communications Letters, pp. 545-548, vol. 3, n. 5, Oct. 2014.
  30. A. Sakzad, J. Harshan, and E. Viterbo, “Integer-Forcing MIMO Linear Receivers Based on Lattice Reduction”, IEEE Transactions on Wireless Communications, pp. 4905-4915, vol. 12, n. 10, DOI: 10.1109/TWC.2013.090513.121465, Oct. 2013.
  31. Harshan J., and E. Viterbo, “Practical Encoders and Decoders for Euclidean Codes from Barnes-Wall Lattices”,  IEEE Transactions on Communications , pp. 4417-4427, vol. 61, n. 11, Nov. 2013.
  32. Harshan J., and E. Viterbo, “Integer Space-Time Block Codes for Practical MIMO Systems”,  IEEE Wireless Communications Letters, pp. 455-458, vol. 2, n. 4, Aug. 2013.
  33. Shuiyin Liu, Yi Hong, and E. Viterbo, “Practical Secrecy using Artificial Noise”,  IEEE Communications Letters, pp. 1483-1486, vol. 17, n. 7, July 2013.
  34. N. Fernando, Yi Hong and E. Viterbo, “Self-Heterodyne OFDM Transmission for Frequency Selective Channels”,  IEEE Transactions on Communications, pp. 1936-1946, vol. 61, n. 5, May 2013.
  35. P. Kalansuriya, N.C. Karmakar, and E. Viterbo, “On the Detection of Frequency-Spectra-Based Chipless RFID Using UWB Impulsed Interrogation”,  IEEE Transactions on Microwave Theory and Techniques, pp. 4187-4197, vol. 60, n. 12, Part 2, Dec. 2012.
  36. N. Fernando, Yi Hong and E. Viterbo, “Flip-OFDM for Unipolar Communication Systems”,  IEEE Transactions on Communications, pp. 3726-3733, vol. 60, n. 12, Dec. 2012.
  37. R. McKilliam, R. Subramanian, E. Viterbo, and V. Clarkson “On the error performance of the A_n lattices”,  IEEE Transactions on Information Theory, pp. 5941-5949, vol. 58, n. 9, Sept. 2012.
  38. Y. Hong, A. J. Lowery, and E. Viterbo,  “Sensitivity improvement and carrier power reduction in direct-detection optical OFDM systems by subcarrier pairing”,  Optics Express, pp. 1635-1648, vol. 20, n. 2, 2012, Jan. 2012.
  39. S.K. Mohammed, E. Viterbo, Y. Hong, and A. Chockalingam,  “Modulation Diversity in Fading Channels with a Quantized Receiver”,  IEEE Transactions on Wireless Communications, pp. 316-327, vol. 11, n. 1, Jan. 2012.
  40. S.K. Mohammed, E. Viterbo, Y. Hong, and A. Chockalingam, “Precoding by Pairing Subchannels to Increase MIMO Capacity With Discrete Input Alphabets”, IEEE Transactions on Information Theory, pp. 4156-4169, vol. 57, n. 7, July 2011.
  41. S.K. Mohammed, E. Viterbo, Y. Hong, and A. Chockalingam, “MIMO Precoding with X- and Y-Codes”, IEEE Transactions on Information Theory, pp. 3542-3566, vol. 57, n. 6, June 2011.
  42. A. Nordio, C.-F. Chiasserini, E.Viterbo, “The Impact of Quasi-equally Spaced Sensor Topologies on Signal Reconstruction”, ACM Transactions on Sensor Networks, vol.6, n.2, pp. 11:1-11:31, Feb. 2010.
  43. A. Nordio, C-F. Chiasserini, E. Viterbo, “Asymptotic analysis of multidimensional jittered sampling”,  IEEE Transactions on Signal Processing, vol. 58, n. 1, pp. 258-268, Jan. 2010.
  44. A. Nordio, C-F. Chiasserini, E. Viterbo, “Signal Reconstruction Errors in Jittered Sampling”, IEEE Transactions on Signal Processing,  vol. 57, n. 12, pp. 4711-4718,  Dec. 2009.
  45. H-F Lu, R. Vehkalahti, C. Hollanti, J. Lahtonen, Y. Hong, E. Viterbo, “New Space-Time Code Constructions for Two-User Multiple Access Channels”, in IEEE Journal on Selected Topics in Signal Processing,  vol. 3, n. 6, pp. 939-957, Dec. 2009.
  46. G. Matz, R. Calderbank, C. Mecklenbrauker, A. Naguib, and E. Viterbo, “Introduction to the Issue on Managing Complexity in Multiuser MIMO Systems”, in IEEE Journal on Selected Topics in Signal Processing,  vol. 3, n. 6, pp. 906-909, Dec. 2009.
  47. Y. Hong and E. Viterbo: “Algebraic multiuser space-time block codes for 2×2 MIMO”, IEEE Transactions on Vehicular Technology, vol. 58, n. 6, pp. 3062-3066, July  2009.
  48. E. Viterbo and Y. Hong: “On the performance of Golden space-time trellis coded modulation over MIMO block fading channels”, IEEE Transactions on Wireless Communications , June, 2009.
  49. L. Luzzi, G. Rekaya-Ben Othman, J.-C. Belfioreand E. Viterbo, “Golden Space-Time Block Coded Modulation”, IEEE Transactions on Information Theory, pp. 584-597, vol. 55, n. 2, Feb. 2009.
  50. E. Biglieri, Yi Hong, E. Viterbo: “On Fast Decodable Space-Time Block Codes”, IEEE Transactions on Information Theory, pp. 524-530, vol. 55, n. 2, Feb. 2009.
  51. B. Cerato, G. Masera, and E. Viterbo: “Decoding the Golden Code: A VLSI Design”, IEEE Transactions on VLSI, vol. 17, n. 1, pp. 156-160, Jan. 2009,   doi: 10.1109/TVLSI.2008.2003163.
  52. A. Nordio, C.-F. Chiasserini, E. Viterbo: “Performance of Linear Field Reconstruction Techniques with Noise and Uncertain Sensor Locations”, IEEE Transactions on Signal Processing , vol. 56, n. 8, pp. 3535-3547, Aug. 2008.
  53. A. Nordio, C.-F. Chiasserini, E. Viterbo: “Reconstruction of Multidimensional Signals from Irregular Noisy Samples”, IEEE Transactions on Signal Processing , vol. 56, n. 9, pp. 4274-4285, Sept.2008.
  54. B. Cerato, G. Masera, and E. Viterbo: “Decoding the Golden space-time trellis coded modulation”, IEEE Communication Letters, vol. 12, n. 8, pp. 569-571, Aug. 2008.
  55. P. Pace and E. Viterbo: “Fast and accuate video PQoS estimation over wireless networks”, EURASIP Journal on Advances in Signal Processing – Special Issue on Wireless Video, vol. 2008, Article ID 548741, 10 pages, 2008. doi:10.1155/2008/548741
  56. B. Cerato, G. Masera, and E. Viterbo: “Enabling VLSI Processing Blocks for MIMO-OFDM Communications”, VLSI Design, vol. 2008, Article ID 351962, 10 pages, 2008. doi:10.1155/2008/351962
  57. A. Guillen i Fabregas and E. Viterbo: “Sphere Lower Bound for Rotated Lattice Constellations in Fading Channels”, IEEE Transactions on Wireless Communications , vol. 7, no. 3, pp. 825-830, May 2008.
  58. E. Natalizio, V. Loscri, and E. Viterbo: “Optimal Placement of Wireless Nodes for Maximizing Path Lifetime”, IEEE Communication Letters , vol. 12, no. 5, pp. 362-364, May 2008.
  59. Y. Hong, E. Viterbo, and J.-C. Belifiore: “Golden space-time trellis coded modulation”, IEEE Transactions on Information Theory, vol. 53, no. 5, pp. 1689 – 1705, May 2007.
  60. F. Oggier, G. Rekaya, J.-C. Belfiore, E. Viterbo: “Perfect Space-Time Block Codes”, IEEE Transactions on Information Theory, vol. 52, n. 9, pp. 3885-3902, Sept. 2006.
  61. E. Bayer-Fluckiger, F. Oggier, E. Viterbo: “Algebraic Lattice Constellations: bounds on performance”, IEEE Transactions on Information Theory, vol. 52, n. 1, pp. 319-327, Jan. 2006.
  62. J.-C. Belfiore, G. Rekaya, E. Viterbo: “The Golden Code: A 2×2 Full-Rate Space-Time Code With Nonvanishing Determinants”, IEEE Transactions on Information Theory, vol. 51, n. 4, pp. 1432-1436, Apr. 2005.
  63. R. Gaudino and E. Viterbo: “Transmitter optimization and theoretical bounds for dispersion-limited optical fiber links”, IEEE Transactions on Communications, vol. 52, n. 9, pp. 1558-1565, Sept. 2004.
  64. E. Bayer-Fluckiger, F. Oggier, E. Viterbo: “New Algebraic Constructions of Rotated Z^n-Lattice Constellations for the Rayleigh Fading Channel”, IEEE Transactions on Information Theory, vol. 50, n. 4, pp. 702-714, Apr. 2004.
  65. R. Gaudino and E. Viterbo: “Pulse Shape Optimization in Dispersion-Limited Direct Detection Optical Fiber Links”, IEEE Communication Letters, vol. 7, n. 11, pp. 552-554, Nov. 2003.
  66. M. Meo and E. Viterbo: “Performance of Wideband CDMA Systems Supporting Multimedia Traffic”, IEEE Communication Letters, vol. 5, n. 6, pp. 251-253, June 2001.
  67. E. Biglieri, G. Caire, G. Taricco, and E. Viterbo: “How fading Affects CDMA: An Asymptotic Analysis with Linear Receivers”, IEEE Journal on Selected areas in Communications, vol. 19, n. 2, pp. 191-201, Feb. 2001.
  68. G. Caire, E. Leonardi, and E. Viterbo: “Modulation and Coding for the Gaussian Collision Channel”, IEEE Transactions on Information Theory, vol. 46, n. 6, pp. 2007-2026, Sept. 2000.
  69. M. Greferath and E. Viterbo: “On Z4- and Z9-linear lifts of the Golay codes”, IEEE Transactions on Information Theory, vol. 45, n. 7, pp. 2524-2527, Nov. 1999.
  70. M. Elia, E. Viterbo, and G. Bertinetti: “Decoding of binary separable Goppa codes using Berlekamp-Massey algorithm”, Electronics Letters, Vol. 35, No. 20, pp. 1720-1721, 30th September 1999.
  71. M. Elia, G. Taricco, and E. Viterbo: “Optimal Energy Transfer over Bandlimited Communication Channels”, IEEE Transactions on Information Theory, vol. 45, n. 6, pp. 2020-2029, Sept. 1999.
  72. E. Biglieri, J. K. Karlof, and E. Viterbo: “Representing Group Codes as Permutation Codes”, IEEE Transactions on Information Theory, vol. 45, n. 6, pp. 2204-2207, Sept. 1999.
  73. E. Viterbo and J. Boutros: “A Universal Lattice Code Decoder for Fading Channels”, IEEE Transactions on Information Theory, vol. 45, n. 5, pp. 1639-1642, July 1999.
  74. J. Boutros and E. Viterbo: “Signal Space Diversity: a power and bandwidth efficient diversity technique for the Rayleigh fading channel”, IEEE Transactions on Information Theory, vol. 44, n. 4, pp. 1453-1467, July 1998.
  75. G. Taricco and E. Viterbo: “Performance of High Diversity Multidimensional Constellations”, IEEE Transactions on Information Theory, vol. 44, n. 4, pp. 1539-1543, July 1998.
  76. E. Viterbo: “The Ciphered Autobiography of an 19th Century Egyptologist”, CRYPTOLOGIA, vol. XXII, n. 3, pp. 231-243, July 1998.
  77. G. Caire and E. Viterbo: “Upper Bound to the Frame Error Probability of Terminated Trellis Codes”, IEEE Communication Letters, vol. 2, n. 1, Jan. 1998.
  78. G. Taricco and E. Viterbo: “Performance of component-interleaved signal sets for fading channels”, Electronics Letters, Vol. 32, No. 13, pp. 1170-1172, 20th June 1996.
  79. J. Boutros, E. Viterbo, C. Rastello, and J.C. Belfiore: “Good Lattice Constellations for both Rayleigh Fading and Gaussian Channels”, IEEE Transactions on Information Theory, vol. 42, n. 2, pp. 502-518, March 1996.
  80. E. Viterbo and E. Biglieri: “Computing the Voronoi cell of a lattice: The diamond-cutting algorithm”, IEEE Transactions on Information Theory, vol. 42, n. 1, pp. 161-171, Jan. 1996.
  81. E. Biglieri, E. Chiaberto, G. P. Maccone, and E. Viterbo: “Compensation of Nonlinearities in High-Density Magnetic Recording Channels”, IEEE Transactions on Magnetics, vol. 30, n. 6, pp. 5079-5086, Nov. 1994.
  82. M. Elia and E. Viterbo: “Algebraic decoding of the ternary (11,6,5) Golay Code”, Electronics Letters, Vol. 28, No. 21, pp. 2021-2022, 8th October 1992.
  83. V. Daniele, M. Gilli, and E. Viterbo: “Diffraction of a plane wave by a strip grating”, Electromagnetics, n. 10, pp. 245-269, 1990.

Conference papers:

  1. L. Chhangte, E. Viterbo, D. Manjunath, N. Karamchandani, “Index Coding at the WiFi Edge: An Implementation Study for Video Delivery”, 2020 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, July 2020.
  2. V. B. Wijekoon, E. Viterbo, Yi Hong, “A Low Complexity Decoding Algorithm for NB-LDPC Codes over Quadratic Extension Fields”, 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, June 2020.
  3. L. Chhangte, E. Viterbo, D. Manjunath, N. Karamchandani, “Online Caching and Coding at the WiFi Edge: Gains and Tradeoffs”, 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Seoul, Korea, May 2020.
  4. R.T. Rakesh, E. Viterbo, “Geometry based Stochastic Channel Modeling using Ambit Processes”, 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea, May 2020.
  5. Tharaj Thaj, E. Viterbo, “Low Complexity Iterative Rake Detector for Orthogonal Time Frequency Space Modulation”, 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea, May 2020.
  6. V. B. Wijekoon, E. Viterbo, Yi Hong, “LDPC-Staircase Codes for Soft Decision Decoding”, 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea, May 2020.
  7. V. B. Wijekoon, Shuiyin Liu, E. Viterbo, Yi Hong, R. Micheloni, A. Marelli, “Coset Probability Based Majority-logic Decoding for Non-binary LDPC Codes”, 2019 IEEE Information Theory Workshop (ITW), Visby, Sweeden, Aug. 2019.
  8. M. Rowshan, E. Viterbo, “Improved List Decoding of Polar Codes by Shifted-pruning”, 2019 IEEE Information Theory Workshop (ITW), Visby, Sweeden, Aug. 2019.
  9. R.T. Rakesh, E. Viterbo, “Ray-Tracing Simulation of Cross-Road Scenarios Based on a Stochastic Model for Vehicular Traffic”, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), Honolulu, HI, Sept. 2019.
  10. V. B. Wijekoon, Hoang Dau, E. Viterbo, “Iterative Decoding of Reed-Solomon Codes based on Non-binary Matrices”, 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 2019.
  11. M. Rowshan, E. Viterbo, “How to Modify Polar Codes for List Decoding”, 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 2019.
  12. Weiqi Li, Hoang Dau, Zhiying Wang, H. Jafarkhani, E. Viterbo, “On the I/O Costs in Repairing Short-Length Reed-Solomon Codes”, 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 2019.
  13. M. Nur Hasan, B. Kurkoski, A. Sakzad, E. Viterbo, “Orthogonal Precoder for Integer-Forcing MIMO”, 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 2019.
  14. P. Raviteja, Khoa T. Phan, Yi Hong, E. Viterbo, “Orthogonal Time Frequency Space (OTFS) Modulation Based Radar System”, 2019 IEEE Radar Conference (RadarConf), Boston, Apr. 2019.
  15. Tharaj Thaj, E. Viterbo, “OTFS Modem SDR Implementation and Experimental Study of Receiver Impairment Effects”, 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai, China, May. 2019.
  16. P. Raviteja, Khoa T. Phan, Yi Hong, E. Viterbo, “Embedded Delay-Doppler Channel Estimation for Orthogonal Time Frequency Space Modulation”, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, Aug. 2018.
  17. M. Rowshan, E. Viterbo,  “Stepped List Decoding for Polar Codes”, IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), Hong Kong, Dec. 2018.
  18. Huang Dau, E. Viterbo,  “Repair Schemes with Optimal I/O Costs for Full-Length Reed-Solomon Codes with Two Parities”, IEEE Information Theory Workshop (ITW), Guangzhou, Nov. 2018.
  19. E. Biglieri, E. Viterbo, M. Elia,   “Error Control of Line Codes Generated by Finite Coxeter Groups”, Information Theory and Applications Workshop (ITA), San Diego, Feb. 2018.
  20. Yu-Chih Huang, Yi Hong, E. Viterbo, L. Natarajan,   “Layered Space- Time Index Coding”, IEEE International Symposium on Information Theory (ISIT), Veil, Colorado, 2018.
  21. P. Raviteja, Khoa T. Phan, Qianyu Jin, Yi Hong, and E. Viterbo,   “Low-complexity iterative detection for orthogonal time frequency space modulation”, IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Apr. 2018.
  22. Khoa T. Phan, Yi Hong, and E. Viterbo,  “Adaptive resource allocation for secure two-hop communication”, IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Apr. 2018.
  23. Shuiyin Liu, Yi Hong, E. Viterbo,   “XY precoder for MIMO systems”, IEEE Information Theory Workshop (ITW), Kaohsiung, Taiwan, Nov. 2017.
  24. A. Nordio, C.-F. Chiasserini, E. Viterbo,   “Optimal transmission strategy in full-duplex relay networks”, IEEE Information Theory Workshop (ITW), Kaohsiung, Taiwan, Nov. 2017.
  25. Xiao Liang, Yechao She, Harish Vangala, Xiaohu You, Chuan Zhang, E. Viterbo,  “An efficient successive cancellation polar decoder based on new folding approaches”, IEEE 12th International Conference on ASIC (ASICON), Guiyang Guizhou, Oct. 2017.
  26. E. Biglieri, E. Viterbo,  “Line coding for differential vector signaling”, Information Theory and Applications Workshop (ITA), San Diego, Feb. 2017.
  27. L. Natarajan, Yi Hong, E. Viterbo,   “Capacity optimality of lattice codes in common message Gaussian broadcast channels with coded side information”, IEEE International Symposium on Information Theory (ISIT), Aachen, 2017.
  28. E. Biglieri, E. Viterbo,   “Geometrically uniform differential vector signaling schemes”, IEEE International Symposium on Information Theory (ISIT), Aachen, June 2017.
  29. Yu-Chi Huang, Yi Hong, E. Viterbo,   “Golden-coded index coding”, IEEE International Symposium on Information Theory (ISIT), Aachen, June 2017.
  30. Shuiyin Liu, Yi Hong, E. Viterbo,   “Adaptive polar coding with high order modulation for block fading channels”, IEEE International Conference on Communications Workshops (ICC Workshops), Kuala Lumpur, 2017.
  31. X. Xiao, Yi Hong, and E. Viterbo, A. Gupta,   “Trellis coded modulation for informed receivers”, IEEE International Conference on Communications Workshops (ICC Workshops), Paris, July 2017.
  32. J. Harshan, A. Sakzad, and E. Viterbo,   “Integer-Forcing Linear Receivers: A Design Criterion for Full-Diversity STBCs”, IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, Apr. 2017.
  33. Shuiyin Liu, Yi Hong, and E. Viterbo,   “Polar Codes for Block Fading Channels”, IEEE Wireless Communications and Networking Conference Workshops (WCNCW), San Francisco, Apr. 2017.
  34. L. Natarajan, Yi Hong, and E. Viterbo,   “New Error Correcting Codes for Informed Receivers”, IEEE International Symposium on Information Theory, Barcelona, July 2016.
  35. X. Xiao, Yi Hong, and E. Viterbo, A. Gupta   “Joint optimization scheme and sum constellation distribution for multi-user Gaussian multiple access channels with finite input constellations”, Australian Communications Theory Workshop (AusCTW), Melbourne, Jan 2016.
  36. L. Natarajan, Yi Hong, and E. Viterbo,  “Capacity of coded index modulation”, IEEE International Symposium on Information Theory , Hong Kong , June 2015.
  37. Shuiyin Liu, Yi Hong, and E. Viterbo,  “Unshared Secret Key Cryptography: Finite Constellation Inputs and Ideal Secrecy Outage”, IEEE International Conference on Communications (ICC’15), London, UK , June 2015.
  38. Qianyu Jin, Yi Hong, and E. Viterbo, “Self-coherent communications for wireless communications”, IEEE International Conference on Communications (ICC’15), London, UK , June 2015.
  39. J.-C. Belfiore, Yi Hong, and E. Viterbo,  “Harmonic analysis of binary function”, IEEE Information Theory Workshop (ITW’15), Jerusalem, Israel , DOI: 10.1109/ITW.2015.7133147, pp. 1-5, Apr. 2015.
  40. L. Natarajan, Yi Hong, and E. Viterbo,  “Lattice index codes for broadcast channels”, IEEE Information Theory Workshop (ITW’15), Jerusalem, Israel , DOI: 10.1109/ITW.2015.7133089, pp. 1-5, Apr. 2015.
  41. A. Sakzad, A.-L. Trautmann, and E. Viterbo,  “Cross-packing lattices for the Rician fading channel”, IEEE Information Theory Workshop (ITW’15), Jerusalem, Israel , DOI: 10.1109/ITW.2015.7133084, pp. 1-5, Apr. 2015.
  42. J. Ravi, B.K. Dey, and E. Viterbo,  “Oblivious transfer over OFDM and MIMO channels”, IEEE Information Theory Workshop (ITW’15), Jerusalem, Israel , DOI: 10.1109/ITW.2015.7133112, pp. 1-5, Apr. 2015.
  43. Shuiyin Liu, E. Viterbo, and Yi Hong, “Wiretap channel with finite-rate feedback”, 22nd International Conference on Telecommunications (ICT), 2015, Sydney, Australia , pp. 256-259, Apr. 2015.
  44. L. Huang, E. Viterbo, and Yi Hong, “On the capacity of the Gaussian mixture channel under average and peak power constraints”, 22nd International Conference on Telecommunications (ICT), 2015, Sydney, Australia , pp. 146-150, Apr. 2015.
  45. H. Vangala, E. Viterbo, and Yi Hong, Quantization of binary input DMC at optimal mutual information using constrained shortest path problem”, 22nd International Conference on Telecommunications (ICT), 2015, Sydney, Australia , pp. 151 – 155, Apr. 2015.
  46. A. Sakzad and E. Viterbo,  “Unitary Precoding for Integer-Forcing MIMO Linear Receivers”, Information Theory Workshop, ITW 2014, Hobart, Tasmania , Nov. 2014.
  47. H. Vangala, E. Viterbo, and Yi Hong,  “A new multiple folded successive cancellation decoder for polar codes”, Information Theory Workshop, ITW 2014, Hobart, Tasmania , Nov. 2014.
  48. S. Liu, Yi Hong, and E. Viterbo,  “Unshared secret key cryptography: Achieving Shannon’s ideal secrecy and perfect secrecy”, Information Theory Workshop, ITW 2014, Hobart, Tasmania , Nov. 2014.
  49. S. Liu, Yi Hong, and E. Viterbo,  “On measures of information theoretic security”, Information Theory Workshop, ITW 2014, Hobart, Tasmania , Nov. 2014.
  50. J. Harshan and E. Viterbo,  “Constellation constrained capacity of additive Gaussian mixture noise channels”, International Symposium on Information Theory and its Applications, ISITA 2014, Melbourne , Oct. 2014.
  51. S. Liu, Yi Hong, and E. Viterbo,  “Cooperative Jamming for MIMO Wiretap Channels”, International Symposium on Information Theory and its Applications, ISITA 2014, Melbourne , Oct. 2014.
  52. A.-L. Trautmann and E. Viterbo, “Cross-Error Correcting Integer Codes over Z^{2^m}”, International Symposium on Information Theory and its Applications, ISITA 2014, Melbourne , Oct. 2014.
  53. H. Vangala, E. Viterbo, and Yi Hong, “Permuted successive cancellation decoder for polar codes”, International Symposium on Information Theory and its Applications, ISITA 2014, Melbourne , Oct. 2014.
  54. H. Vangala, E. Viterbo, and Yi Hong, “Improved Multiple Folded Successive Cancellation Decoder for Polar Codes”, General Assembly and Scientific Symposium (URSI GASS), Beijing , Aug. 2014.
  55. S. Liu, Yi Hong, and E. Viterbo, “Artificial Noise Revisited: When Eve Has more Antennas than Alice”, International Conference on Signal Processing and Communications (SPCOM), 2014 , Bangalore, India , July 2014.
  56. A. Sakzad, E. Viterbo, J. Boutros, and Yi Hong, “Phase Precoded Compute-and-Forward with Partial Feedback”, International Symposium on Information Theory, ISIT 2014, Honolulu, July 2014.
  57. S. Liu, Yi Hong, and E. Viterbo,  “Unshared Secret Key Cryptography”, International Zurich Seminar, IZS 2014, Zurich , Feb. 2014.
  58. S. Kahraman, M.E. Celebi, and E. Viterbo, “Folded successive cancelation decoding of polar codes”, Australian Communications Theory Workshop 2014, Sydney , Feb. 2014.
  59. D. Kramarev, Yi Hong, and E. Viterbo, “Software defined radio implementation of a two-way relay network with digital network coding”, Australian Communications Theory Workshop 2014, Sydney , Feb. 2014.
  60. Linyun Huang, Yi Hong, and E. Viterbo, “On parameter estimation of the envelope Gaussian mixture model”, Australian Communications Theory Workshop 2014, Sydney , Feb. 2014.
  61. S. Kahraman, E. Viterbo, and M.E. Celebi: “Folded Tree Maximum-Likelihood Decoder for Kronecker Product-Based Codes”, 51st Annual Allerton Conference (2013), Allerton House, UIUC, Illinois, USA, pp. 629-636, October 2013
  62. T. Datta, A. Chockalingam, and E. Viterbo, “Gaussian sampling based lattice decoding”, ISIT 2013, Istanbul, Turkey, July 2013.
  63. A. Sakzad, Harshan J., and E. Viterbo, “On complex LLL algorithm for integer forcing linear receivers”, Australian Communications Theory Workshop 2013, Adelaide, Australia, Jan. 2013.
  64. N. Fernando, Yi Hong, and E. Viterbo, “Subcarrier pairing for self-heterodyne OFDM”  , IEEE International Conference on Communications 2013, Budapest, Hungary, June 2013.
  65. N. Fernando, Yi Hong, and E. Viterbo, “Analysis of Self-Het OFDM enhancements for 60GHz indoor RF channels”  , Australian Communications Theory Workshop 2013, Adelaide, Australia, Jan. 2013.
  66. J. Harshan, E. Viterbo, and J.C. Belfiore, “Construction of Barnes-Wall lattices from linear codes over rings “, ISIT 2012, Boston, MA, July 2012.
  67. A. Sakzad, E. Viterbo, Y. Hong, and J. Boutros, “On the Ergodic Rate for Compute-and-Forward”  , NetCod 2012, MIT, Cambridge, MA, June 2012.
  68. Harshan J. and E. Viterbo, “On the robustness of algebraic STBCs to coefficient quantization” , Australian Communications Theory Workshop 2012, Wellington, New Zealand, Jan. 2012.
  69. P. Kalansuriya, N. Karmakar, and E. Viterbo, “Signal Space Representation of Chipless RFID Tag Frequency Signatures”, Globecom 2011, pp. 316-327, vol. 11, n. 1, Jan. 2012.
  70. Yi Hong, E. Viterbo, and A. Lowery, “Improving the sensitivity of direct-detection optical OFDM systems by pairing of the optical subcarriers”  , 2011 37th European Conference and Exhibition on Optical Communication (ECOC), , Paraty, Brazil , Oct. 2011.
  71. N. Fernando, Y. Hong, and E. Viterbo, “Flip-OFDM for Optical Wireless Communications”  , IEEE Information Theory Workshop 2011, Paraty, Brazil , Oct. 2011.
  72. C. Hollanti and E. Viterbo, “Analysis on wiretap lattice codes and probability bounds from Dedekind zeta functions” , ICUMT 2011, Budapest, Hungary , Oct. 2011.
  73. S.K. Mohammed, E. Viterbo, Y. Hong, and A. Chockalingam, “Modulation Diversity in Fading Channels with Quantized Receiver”, ISIT 2011, Saint Petersburg, Russia, Aug. 2011.
  74. S.K. Mohammed, E. Viterbo, Y.Hong, and A. Chockalingam, “Precoding with X-codes to increase capacity with discrete input alphabets”, ISIT 2010, Austin, TX, USA, June 2010.
  75. S.K. Mohammed, E. Viterbo, Y. Hong, and A. Chockalingam, “X- and Y-Codes for MIMO precoding”, ISIT 2010, Austin, TX, USA, June 2010.
  76. S.K. Mohammed, E. Viterbo, Y. Hong, and A. Chockalingam, “X-Codes: A Low Complexity Full-Rate High-Diversity Achieving Precoder for TDD MIMO Systems”, ICC 2010, Cape Town, South Africa, May 2010.
  77. S.K. Mohammed, E. Viterbo, Y. Hong, and A. Chockalingam, “X-Codes”, (invited paper), International Zurich Seminar 2010, ETH Zurich, Switzerland, Mar. 2010.
  78. J. Lahtonen, R. Vehkalahti, Hsiao-feng Lu, C. Hollanti, and  E. Viterbo, “On the decay of the determinants of multiuser MIMO lattice codes”, IEEE Information Theory Workshop Taormina Cairo, Egypt, Jan. 2010.
  79. V. Loscri, Y. Hong, and E. Viterbo, “RQ Precoding for the Cooperative Broadcast Channel”, IEEE Information Theory Workshop Taormina Sicily, Italy, Oct. 2009.
  80. B. Cerato and E. Viterbo: “Hardware implementation of a low-complexity detector for large MIMO”, ISCAS 2009, pp.  593-596, Taipei, Taiwan, May 2009.
  81. A. Nordio, C.-F. Chiasserini, and E. Viterbo, “Linear Signal Reconstruction from Jittered Sampling”, 8th International Conference on Sampling Theory and Applications, SampTA 2009, Marseille, France, May 18-22, 2009.
  82. A. Hottinen, T. Heikkinen, and E. Viterbo, “Device collaboration in ad-hoc MIMO networks”, 2009 International ITG Workshop on Smart Antennas (WSA 2009), Berlin, Germany, Feb.16-18, 2009.
  83. E. Viterbo: “Irregular Sampling and Random Matrix Theory”, JWCC 2008, Napa Valley, CA, Oct. 2008.
  84. Y. Hong and E. Viterbo: “Algebraic multiuser space-time block codes for 2×2 MIMO”,  PIMRC 2008, Cannes, France, Sept. 2008.
  85. A. Nordio, C.-F. Chiasserini, and E. Viterbo: “On quasi-equally spaced sampling in wireless sensor networks”, invited paper at PIMRC 2008, Cannes, France, Sept. 2008.
  86. V. Loscri’, E. Natalizio, E. Viterbo, D. Mauro, G. D’Aquila, G. Brasili: “Carrier Independent Localization Techniques for GSM Terminals”, PIMRC 2008, Cannes, France, Sept. 2008.
  87. Y. Hong and E. Viterbo: “Algebraic multiuser space-frequency block codes”, ISSSTA 2008, Bologna, Italy, Aug. 2008.
  88. E. Viterbo and A. Hottinen: “Optimal user pairing for multiuser MIMO”,  ISSSTA 2008, Bologna, Italy, Aug. 2008.
  89. E. Biglieri, Y. Hong and E. Viterbo: “Silver space-time trellis coded modulation”,  EUSIPCO 2008, Lausanne, Switzerland, Aug 2008.
  90. Y. Hong, S. Shamai (Shitz), and E. Viterbo: “Algebraic-phase scrambling sequences for Code spread code division multiple access”,  ISIT 2008, Toronto, Canada, July 2008.
  91. J. Boutros, E. Viterbo, G.Cohen: “Convolutional Tanner Structures for Non-Ergodic Wireless Channels”, ISIT 2008, Toronto, Canada, July 2008.
  92. P. Pace, M. Belcastro, E. Viterbo: “Fast and accurate PQoS estimation over 802.11g wireless networks”, Proceedings of ICC 2008, Beijing China, May 2008.
  93. L. Luzzi, G. Rekaya, J.-C. Belfiore, and E. Viterbo: “Golden space-time block coded modulation”, IEEE Information Theory Workshop 2008, Porto, May 2008.
  94. C. Hollanti, J. Lahtonen, K. Ranto, R. Vehkalahti, and E. Viterbo: “On the algebraic structure of a Silver code: A 2×2 perfect space-time block code”, IEEE Information Theory Workshop 2008, Porto, May 2008.
  95. E. Biglieri, Y. Hong, and E. Viterbo: “On fast-decodable space-time block codes”, International Zurich Seminar 2008, ETH Zurich, Switzerland, pp. 116-119, March 2008.
  96. A. Nordio, C.-F. Chiasserini, and E. Viterbo: “Signal reconstruction in multidimensional sensor fields”, International Zurich Seminar 2008, ETH Zurich, Switzerland, pp. 56-59, March 2008.
  97. E. Viterbo: “Timing Errors on Distributed Space-Time Communications”, JWCC 2007, Duernstein, Austria, Oct. 2007.
  98. E. Biglieri, Y. Hong, and E. Viterbo: “A Fast-Decodable, Quasi-Orthogonal Space-Time Block Code for 4×2 MIMO”, Allerton Conference (2007), Monticello, IL, pp. 921-926, September 2007
  99. E. Viterbo, Y. Hong: “Robust codes for 2×2 MIMO Block Fading Channels”, International Symposium on Information Theory (ISIT 2007), Nice, France, pp. 2621-2625, June 2007
  100. A. Nordio, C.-F. Chiasserini, and E. Viterbo: “The impact of quasi-equally spaced sensor layouts on field reconstruction”, International Symposium on Information Processing in Sensor Networks 2007, Cambridge, Massachusset, pp. 274-282, April 25-27, 2007.
  101. A. Nordio, C.-F. Chiasserini, and E.Viterbo “Quality of field reconstruction in sensor networks”, IEEE INFOCOM Mini-Symposium, Anchorage, AK, May 2007.
  102. A. Hottinen, Y. Hong, E. Viterbo, C. Mecklenbraeuker, and C. Mehlfuehrer: “A comparison of high rate algebraic and non-orthogonal STBCs”, WSA 2007, pp.1-5, Vienna, Austria, Feb. 2007.
  103. E. Viterbo, Y. Hong and Alex Grant: “Timing Errors on Distributed Space-Time Communications”, AusCTW 2007 , Adelaide, Australia, Feb. 2007.
  104. E. Viterbo, Y. Hong: “Applications of the Golden Code “, Invited paper at Information Theory and Application (ITA 2007), UCSD, San Diego, USA, Jan. 2007
  105. B. Cerato, G. Masera, and E. Viterbo: “A VLSI decoder for the Golden code”, 13th IEEE International Conference on Electronics, Circuits and Systems ICECS 2006, Nice, Dec. 10-13, 2006.
  106. Y. Hong, E. Viterbo, and J.-C. Belfiore: “Golden Space-Time Trellis Coded Modulation”, ISITA 2006 , Seoul, Korea, pp. 848-853, Nov. 2006.
  107. Y. Hong, E. Viterbo, and J.-C. Belfiore: “High rate Golden space-time trellis coded modulation for MIMO fading channels”, Invited paper at Asilomar 2006 Conference, USA, 2006.
  108. Y. Hong, E. Viterbo, and J.-C. Belfiore: “High Data Rate Trellis Coded Modulation” , NEWCOM-ACoRN Joint Workshop 2006 , Vienna, Austria, 20-22 Sept. 2006.
  109. Y. Hong, E. Viterbo, and J.-C. Belfiore: “A Space-Time Block Coded Multiuser MIMO Downlink Transmission Scheme”, IEEE International Symposium on Information Theory, Seattle, USA, pp. 257-261, July 2006.
  110. Albert Guillen i Fabregas and E. Viterbo: “Performance of Rotated Lattice Constellations in Fading Channels”, IEEE International Symposium on Information Theory, Seattle, USA, pp. 1046-1050, July 2006.
  111. J.-C. Belfiore and E. Viterbo: “Approximating the error probability for the independent Rayleigh fading channels”, IEEE International Symposium on Information Theory, p. 362, Adelaide, Australia 2005.
  112. D. Champion, J.-C. Belfiore, G. Rekaya and E. Viterbo: “Partitionning the Golden Code: A framework to the design of Space-Time coded modulation”, Canadian Workshop on Information Theory, Montreal, 2005
  113. G. Rekaya, J.-C. Belfiore and E. Viterbo: “Rectangular Algebraic Space-Time Block Codes”, Canadian Workshop on Information Theory, Montreal, 2005
  114. E. Viterbo: Algebraic lattices and channel coding for digital transmission”, Invited talk at Workshop on Gitter und Andwendungen, Mathematiches Forschungsinstitut, Oberwolfach, Germany, Jan. 2-8, 2005.
  115. G. Rekaya, J.-C. Belfiore, E. Viterbo: “Algebraic 3×3, 4×4, 6×6 Space-Time Codes with non-vanishing Determinants”, IEEE International Symposium on Information Theory and its Applications, pp. 325-329, Parma, Italy, Oct. 10-13, 2004.
  116. G. Rekaya, J.-C. Belfiore, E. Viterbo: “A Very Efficient Lattice Reduction Tool on Fast Fading Channels”, International Symposium on Information Theory and its Applications, Parma, Italy, October 10-13, 2004, p. 714-717.
  117. E. Viterbo: “Perfect Space-Time Block Codes”, JWCC 2004, Donnini, Firenze, Italy, Oct. 2004.
  118. J.-C. Belfiore, G. Rekaya, E. Viterbo: “The Golden Code: A 2×2 Full-Rate Space-Time Code with Non-Vanishing Determinants”, IEEE International Symposium on Information Theory, Chicago, June 27 – July 2, 2004, pp. 310.
  119. E. Bayer-Fluckiger, F. Oggier, E. Viterbo: “Bounds on the performance of rotated lattice constellations”, IEEE International Symposium on Information Theory, Chicago, June 27 – July 2, 2004, pp. 412.
  120. A. Nordio and E. Viterbo: “Trellis decoding of permutation modulations”, IEEE International Symposium on Information Theory, Yokohama, June 29 – July 4, 2003, pp. 393.
  121. F. Oggier, E. Bayer-Fluckiger, E. Viterbo: “New algebraic constructions of rotated cubic lattice constellations for the Rayleigh fading channel”, ITW 2003, Paris, France, March 31 – April 4, 2003, pp. 263-266.
  122. A. Nordio and E. Viterbo: “Permutation Modulation for Fading Channels”, ICT 2003, Tahiti , French Polynesia, February 23 – March 1, 2003.
  123. E. Viterbo: “Permutation Modulation for Fast Fading Channels”, JWCC 2002, Barolo, Italy, November 3-6, 2002.
  124. J. Boutros, G. Caire, E. Viterbo, H. Sawaya, and S. Vialle: “Turbo code at 0.03 dB from capacity limit”, ISIT 2002, Lausanne, Switzerland, June 2002, p. 56.
  125. F. Alesiani, E. Biglieri, G. Taricco and E. Viterbo: “Performance of Adaptive Modulation Techniques in the UMTS System”, Globecom 2001, San Antonio, Texas, USA, November, 2001, pp. CTS 16-5.
  126. E. Viterbo and Carla F. Chiasserini: “Dynamic Pricing for Connection-Oriented Services in Wireless networks”, 12th International Symposium on Personal, Indoor and Mobile Radio Communications, San Diego, California, USA, 30 September – 3 October, 2001, pp. A68-A72.
  127. E. Viterbo and Carla F. Chiasserini: “Dynamic Pricing in Wireless networks”, International Symposium on Telecommunications, Tehran, Iran, 1-3 September, 2001, pp. 385-388.
  128. M. Meo and E. Viterbo: “Dynamic Capacity of Wideband CDMA Systems Supporting Multimedia Traffic”, International Symposium on Information Theory and Its Applications, Honolulu, Hawaii, USA, 5-8th November, 2000, pp. 152-155.
  129. E. Biglieri, G. Taricco, and E. Viterbo: “Information Theoretic Analysis of Bit-Interleaved Time-Space Codes for Fading Channels”, International Symposium on Information Theory and Its Applications, Honolulu, Hawaii, USA, 5-8th November, 2000, pp. 473-476.
  130. M. Elia, G. Taricco, and E. Viterbo: “On the Classification of Binary Goppa Codes”, International Symposium on Information Theory and Its Applications, Honolulu, Hawaii, USA, 5-8th November, 2000, pp. 461-464.
  131. M. Elia and E. Viterbo: “Linear sequences and Punctured linear codes”, Proceedings SIC’ 2000, 23-28 July 2000, Orlando, Florida, pp.660-665
  132. E. Biglieri, G. Caire, G. Taricco, E. Viterbo: “CDMA with fading: Effective bandwidth and spreading-coding tradeoff”, Procedings of ISIT 2000, p. 438, Sorrento, Italy, 25-30th June, 2000.
  133. E. Biglieri, G. Taricco, E. Viterbo: “Bit-Interleaved Time-Space Codes for Fading Channels”, 2000 Conference on Information Sciences and Systems, pp. WA4/1-6, Princeton University, Princeton, March 15-17th, 2000.
  134. E. Biglieri, G. Caire, G. Taricco, E. Viterbo: “CDMA design through asymptotic analysis: Fading channels”, 3rd IEEE/ITG Conference on Source and Channel Coding, pp. 307-312, Muenchen, Germany, Jan. 17-19th, 2000.
  135. E. Biglieri, G. Caire, G. Taricco, E. Viterbo: “CDMA design through asymptotic analysis: Fading channels”, 37th Annual Allerton Conference on Communications, Control and Computing, pp. 851-860, Allerton, USA, Sept. 22-24th, 1999.
  136. M. Greferath and E. Viterbo: “Algebraic Construction of Good Collision Resistant Signal Sets”, Workshop on Coding and Cryptography, Paris, France, pp. 213-224, Jan. 11-14th, 1999.
  137. M. Greferath and E. Viterbo: On Z4- and Z9-linear lifts of the Golay codes, 1999 Information Theory and Communications Workshop, Kruger Park, South Africa, p. 117, June 1999.
  138. E. Biglieri, J. K. Karlof, and E. Viterbo: “Representing group codes as permutation codes”, 1999 Information Theory and Networking Workshop, Metsovo, Greece, p. 53, June 1999.
  139. G. Caire, E. Leonardi, and E. Viterbo: Improving performance of Wireless Networks using Collision Resistant Modulations, Proceedings of Globecom ’98, pp. 2186-2191, Sydney, Australia, Nov. 1998.
  140. G. Caire, E. Leonardi, and E. Viterbo: “Concatenated Coding for Packet Transmission over the Collision Channel”, Proceedings of ISIT ’98, p. 288, Cambridge, Massachusetts, Aug. 1998.
  141. G. Caire, E. Leonardi, and E. Viterbo: “Collision Resistant Modulation”, Proceedings of ICT’98, pp. 438-444, Porto Carras, Grecia, Jun. 1998.
  142. G. Caire, E. Leonardi, and E. Viterbo: “Signal-Space Coding for the collision channel: Collision Resistant Modulation”, Ninth Joint Conference on Coding and Communication, Courmayeur, Italy, Jan. 1998.
  143. M. Elia, G. Taricco, and E. Viterbo: “Multidimensional Signal Sets Generalizing PSK Modulations”, Third Mediterranean Workshop on Coding and Information Integrity, Israele, Oct. 1997.
  144. M. Elia, G. Taricco, and E. Viterbo: “Optimal Energy Transfer over Bandlimited Communication Channels”, Seizieme Colloque Gretsi sur le Traitement du Signal et des Images, Grenoble, France, Sept. 1997, pp. 705-708.
  145. G. Taricco and E. Viterbo: “Performance of High Diversity Multidimensional Constellations”, IEEE International Symposium on Information Theory, Ulm, Germany, Jun. 1997, p. 167.
  146. J. Boutros and E. Viterbo: “Number fields and Modulations for the Fading Channel”, Reseaux Euclidiens et Formes Modulaires, Colloque CIRM, Luminy, Marseille, France, Sept. 1996.
  147. J. Boutros and E. Viterbo: “New approach for transmission over fading channel”, Proceedings of ICUPC ’96, pp. 66-70, Boston, USA, Sept. 1996.
  148. J. Boutros and E. Viterbo: “Rotated Trellis Coded Lattices” , Proceedings of the XXVth General Assembly of the International Union of Radio Science, URSI, p. 153, Lille, Francia, Aug. 1996.
  149. J. Boutros and E. Viterbo: “Rotated multidimensional QAM constellations for Rayleigh fading channels”, Proceedings of the 1996 IEEE Information Theory Workshop, p. 23, Haifa, Israel, Jun. 1996.
  150. E. Viterbo and K. Fazel: “How to combat long echoes in OFDM transmission schemes: Sub-channel equalization or more powerful channel coding”, Procedings of the conference Globecom ’95, pp. 2069-2074, Singapore, Nov. 1995.
  151. E. Viterbo and E. Biglieri: “Computing the Voronoi cell of a lattice: The diamond-cutting algorithm”, Procedings of the Int. Symp. on Information Theory, p. 182, Whistler, Canada, Sept. 1995.
  152. J. Boutros and E. Viterbo: “High diversity lattices for fading channels”, Procedings of the Int. Symp. on Information Theory, p. 157, Whistler, Canada, Sept. 1995.
  153. E. Viterbo: “High-speed high-density digital magnetic recording”, Sixth Joint Conference on Coding and Communication, Selva di Val Gardena, Italy, Feb. 1994.
  154. E. Viterbo and E. Biglieri: “A universal decoding algorithm for lattice codes”, Quatorzieme colloque GRETSI, pp. 611-614, Juan-les-Pins, Sept. 1993.
  155. E. Biglieri and E. Viterbo: “Nonlinear Compensation for Magnetic Recording Channels”, Quatorzieme colloque GRETSI, pp. 391-394, Juan-les-Pins, Sept. 1993.

Books, chapters and other reports:

  1. P. Kalansuriya, N.C. Karmakar, and E. Viterbo, “A Novel Approach in the Detection of Chipless RFID”, invited book chapter, in Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging Editor: N.C Karmakar, Publisher: IGI Global, 2012
  2. E. Viterbo and Y. Hong,  “Algebraic Coding for Fast Fading Channels”, invited book chapter, in Wireless Communications over Rapidly Time-Varying Channels Editor: F. Hlawatsch and G. Matz, Publisher: Academic Press, Mar. 2011
  3. F. Oggier, J.-C. Belfiore, and E. Viterbo: “Cyclic Division Algebras: A Tool for Space-Time Coding”, Foundations and Trends in Communications and Information Theory, ISBN: 978-1-60198-050-2, Now Publishers, 2007.
  4. A. Nordio, C.-F. Chiasserini, and E. Viterbo, “On Data Acquisition And Field Reconstruction In Wireless Sensor Networks”, invited book chapter in F.Davoli, S.Palazzo and S.Zappatore (Editor), Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements, ISBN: 978-0-387-29811-5, Springer Berlin Heidelberg, July 2006.
  5. F. Oggier and E. Viterbo: “Algebraic number theory and code design for Rayleigh fading channels”,  Foundations and Trends in Communications and Information Theory, ISBN: 1-933019-07-7, Now Publishers, 2004.
  6. E. Viterbo, “Permutation Codes” in Encyclopedia of Telecommunications, ISBN: 978-0-471-36972-1, Ed. J.Proakis, John Wiley & Sons, Inc., 2002
  7. G. Taricco, E. Viterbo, and G. Caire, “Comunicazioni Elettriche – Esercizi svolti”, CLUT Editrice, Torino, ISBN 88-7992-143-6, Feb. 1999.
  8. G. Arian Levi, E. Viterbo: “Simeone Levi – La storia sconosciuta di un noto egittologo”, pp. 135, ISBN 88-86626-40-1, Editrice Ananke, Torino, Italy, 1999.
  9. E. Viterbo: “Tecniche matematiche computazionali per l’analisi ed il progetto di costellazioni a reticolo”, Ph.D. thesis, Politecnico di Torino, Italy, 1995.
  10. F. Muratore and E. Viterbo: “A universal lattice decoder: Applications and Results”, Documento Tecnico CSELT (DTR 95.0365), Torino, Italy, May 1995.
  11. E. Viterbo and K. Fazel: “Guard interval versus sub-channel equalization in OFDM system for HDTV”, Internal report DLR, Institut fuer Nachrichtentechnik, Oberpfaffenhofen, Germany, June 1993.

Patents:

  1. E. Viterbo and V. Wijekoon, Coset probability based majority-logic decoding for non-binary LDPC codes”, (US 2020/0235753 A1), July 23, 2020.
  2. Y. Hong, E. Viterbo, and A.J. Lowery, “Joint Coding for optical OFDM”, Australia Provisional Patent 2011 April, WM ref: P34426AUP1, WS 2011-005-01.
  3. A. Hottinen and E. Viterbo: Optimal user pairing for downlink multiuser MIMO (US 2009/03030979 A1), Dec. 10, 2009.
  4. A. Hottinen and E. Viterbo: Optimal user pairing for multiuser MIMO (US 2009/0296648 A1), Dec. 3, 2009.
  5. A. Hottinen and E. Viterbo: Method, apparatus and computer program for relay selection (US 2009/0296626 A1), Dec. 3, 2009.

ARC DP260101376 – Integrating Communication and Sensing: Connecting the Cyber-Physical World

Integrating sensing and communications (ISAC) is crucial to unlock the full capabilities of future cyber-physical fusion, yet it is challenged by limited network resources and diverse user requirements. The project will tackle these
challenges by devising new ISAC techniques offering robust performance in both functions. Anchoring theory with practical requirements, the project expects to develop new methods leveraging advanced mathematical tools and
machine learning techniques. The outcomes will break through the bottleneck of ISAC under stringent application requirements of high accuracy and high rates. The project will benefit Australia by advancing the knowledge base in key wireless technologies and supporting future critical infrastructures. ($897K)

ARC DP200100731 – Advanced Error-Control Coding Techniques for Cost-Efficient and Scalable Blockchains

Advanced error control coding techniques for scalable blockchains. The project aims to investigate the application of error-control coding theory in blockchains, focusing on reducing the storage, computation, and communication overheads, as well as increasing the throughput of blockchain networks. The ambition is to develop coding theory in a completely new territory: decentralised, untrusted, and peer-to-peer networks. The intended outcome is to greatly extend the current state of the art of the theory of error-control codes, previously investigated only in the context of centralised architectures, where a server coordinates every task. Practically, the project should provide significant benefits in terms of cost-effectiveness of blockchains, increase in their processing speed, and security enhancement. International Partners: Dr Loi Luu, Singapore, Assistant Professor Chen Feng, University of British Columbia, Canada, Associate Professor Yu-Chih Huang, National Chiao Tung University, Taiwain. ($420K)

ARC DP200100096 – New modulation techniques for future high-mobility wireless communications

Future wireless networks will support huge amounts of mobile data traffic and numbers of terminals. To provide satisfactory service to emerging mass transportation systems such as self-driving cars, high-speed trains, and drones, it will be critical to incorporate the ability for wireless networks to function in high-mobility environments. The project aims to devise novel modulation techniques to support high-mobility communications with superior performance. The theoretical advances will be demonstrated using software-defined radios. These outcomes will provide fundamental scientific basis for deployment of future air interfaces. The project will benefit Australia in gaining a leading position in global telecommunications development. International Partners: Prof Ezio Biglieri, University Pompeu Fabra, Barcelona. ($487K)

ARC LP160100002 – Advanced Coding Techniques for Next Generation NAND Flash Memories

NAND Flash memories in Solid State Drives are gradually replacing hard drives in our laptops and provides enormous benefits in access speed and weight. A critical limitation of NAND Flash memories is their reliability loss with use. While the physical principles underpinning the technology of such storage devices are constantly improving, the challenges posed by the very strict reliability/cost requirements of large storage systems can only be met by advanced coding techniques. By allocating some of the memory to coding redundant information the lifetime of these devices can be extended to the desired level. Designing low-power consuming coding schemes that can achieve the maximum coding gain will be the focus of this project. International Partners: Dr Rino Micheloni, NandExt s.r.l., Italy.

ARC DP160101077 – Index coding for multimedia content distribution networks

A large portion of the increasing internet traffic is due to video content browsing and distribution and poses serious strains to the current network infrastructure, which is designed to support conventional data. It is crucial to explore new fundamental avenues to reduce the network congestion due to large files downloads. The project will tackle this problem by exploring new index coding techniques, which are robust to failures occurring in wireless and wired network links. Using advanced mathematical tools from algebraic number theory and module theory we aim to design optimally bandwidth efficient index coding schemes that enable timely and reliable content distribution to the end users. ($310K)

ARC DP160100528 – New Generation of Secure Wireless Communications for Constrained Devices

Internet of things (IoT) will involve billions of resource-constrained devices connected to the environment and managed though a range of wireless connections. Standard wireless security solutions are unsuitable for these devices due to the high cost of communication and computation. The project aims to develop a novel wireless security approach based on the physical-layer properties of wireless channels, to secure communications for the IoT. The fundamental advances of the first two years will be followed by a software-defined radio demonstration of the new technology. These outcomes will provide innovative solutions to safeguard future commercial deployment of the IoT. International Partners: Prof Jean-Claude Belfiore, Telecom ParisTech, France. ($335K)

ARC DP130100103 – Network coding over finite rings

The project aims to transform the theory, design and deployment of coding schemes for future wireless networks by exploring innovative algebraic tools. We will produce a systematic and unified approach to the design of network and relaying codes for multi-terminal wireless communications, an emerging technology for wireless networks. Our advances in coding and decoding will enable massive increases in data rates and will lead to more reliable communications networks. The outcomes will make fundamental contributions to coding and information theory, with direct application to next-generation wireless communications. International Partners: Prof Joseph Boutros, Texas A&M University.

ARC DP130100336 – Coordinated non-coherent wireless for safe and secure networking

Distributed wireless networks have the potential to serve simultaneous users streaming high definition video, no dead zones, no interference among users and no reduction in data rate as more users are added. This project will provide a solution to the current limitations of distributed wireless networks aiming at user safety and privacy. International Partners: Prof Ezio Biglieri, University Pompeu Fabra, Barcelona

QNRF #NPRP5-597-2-241 – Information Processing via lattices for Digital Data Networks

The idea of mixing packets at the network layer instead of simply forwarding packets is known as network coding and has been shown to be very effective in some networking problems. In wireless networks, the physical layer naturally mixes packets over the complex field due to the superposition nature of the wireless medium. This proposal addresses several techniques which can exploit this natural mixing performed at the physical layer in order to obtain the same effect of having mixed the packets at the network layer. Thus, the coding performed at the physical layer serves the purpose of error correction as well as network coding. Such a paradigm has recently been called as compute and forward or as joint physical layer and network layer coding. Lattice codes have been shown to possess the correct algebraic structure to facilitate joint physical layer and network layer coding. However, there are some important problems that need to be addressed before lattice codes can be used in practical wireless networks to realize the gains promised by them. International Partners: Prof Joseph Boutros, Texas A&M University.

Supervision

PHD

Linqi Zhou
DNA data storage
2025

Adrian Vidal
DNA data storage
2021 to 2025

Brendon McBain
DNA data storage
2020 to 2024

Tharaj Thaj
OTFS detection
2019 to 2023

Viduranga Wijekoon
Low Complexity Soft Decoding of Non-Binary SC-LDPC Codes
2018 to 2022

Fariba Abbasi
Polar codes design
2018 to 2022

Mohammad Rowshan
Efficient Algorithms and Hardware Architectures for Polar Codes
2017 to 2021

Naman Joshi
Communication over wireless channels under secrecy constraints
2017 to 2019

Lalhruaizela Lalhruaizela
Effective Content Delivery with Distributed Edge Caching in WiFi Networks
2015 to 2020

Research fellow

Raviteja Patchava
OTFS
2019 to 2020

Rakesh Thankamani
Wireless channel modeling
2018 to 2020

Harish Vangala
Coding for Nand-Flash memories
2018 to 2018

Lakshmi Natarajan
Lattice Index coding
2015 to 2016

Shuiyin Liu
Coding for Nand-Flash memories
2013 to 2018

Anindya Gupta
Index coding
2016 to 2017

Harsham Jaggadesh
Lattice coding
2012 to 2013

Amin Sakzad
Lattice network coding
2012 to 2014

Teaching Commitments

  • ECE5883/6883 - Advanced signal processing
  • ECE5884/6884 - Wireless Communications
Last modified: 07/04/2026